Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add konglong87/superPM --skill pm-growthgit clone --depth 1 https://github.com/konglong87/superPMWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/konglong87/superpm/pm-growth)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-growth"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-growth/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-growth"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-growth.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.04267 |
| Opus 5 | $0.00026 | $0.02133 |
| Sonnet 5 | $0.00010 | $0.00853 |
| Haiku 4.5 | $0.00005 | $0.00427 |
Grade A, and why
pm-growth scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 643 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
mkdir -p docs/03-增长迭代
echo "📊 增长方案制定工具"
if [ -f "docs/03-增长迭代/AARRR增长分析报告.md" ]; then
echo "✅ AARRR分析报告 - 已找到"
else
echo "⏳ AARRR分析报告 - 未找到"
fi
跨 Agent 交互规则
当流程要求与用户交互时:
- 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
- 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
- 一次只问一个问题。
- 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
- 不得在用户回答前生成文档、写入 docs。
- 已有 docs 文件不能替代本轮用户回答。
执行流程
步骤 1: 确定增长目标
使用 AskUserQuestion:
🎯 增长目标设定
您希望重点增长哪个方向?
A) 用户规模增长(DAU/MAU增长) B) 用户留存增长(提升留存率) C) 用户付费增长(提升付费转化/ARPU) D) 用户传播增长(提升K因子/推荐数) E) 全方位增长(多维度增长) F) 其他(请手动输入)
💡 提示:
- 产品初期 → 关注用户规模和激活
- 产品成长期 → 关注留存和付费
- 产品成熟期 → 关注付费和传播
记录到变量 GROWTH_GOAL
步骤 2: 现状诊断
2.1 读取 AARRR 分析
尝试读取 docs/03-增长迭代/AARRR增长分析报告.md
如果不存在:
⚠️ 未找到 AARRR分析报告
建议先执行 /pm-aarrr 进行增长分析,以便制定针对性策略。
您可以选择:
A) 先执行 /pm-aarrr
B) 基于现有认知继续制定增长方案
是否继续?
2.2 识别增长瓶颈
基于 AARRR 分析或用户输入,识别:
🔍 增长瓶颈识别
当前增长瓶颈:
基于 AARRR 分析,最大的增长瓶颈是:
{从报告提取或用户输入}
瓶颈原因:
- {原因1}
- {原因2}
- {原因3}
是否同意这个诊断?
A) 同意,基于此制定策略 B) 我有不同的看法(请说明) C) 需要补充更多数据
步骤 3: 制定用户获取策略
3.1 获客渠道策略
📢 用户获取策略
现有获客渠道:
- {渠道1}: {效果}
- {渠道2}: {效果}
渠道优化策略:
A) 加大优质渠道投入 B) 开拓新渠道 C) 优化现有渠道ROI D) 以上都做
具体策略:
3.2 获客预算分配
💰 获客预算规划
月度获客预算:{金额}
预算分配建议:
渠道 预算占比 预期效果 ROI预估 {渠道1} {百分比}% {效果} {ROI} {渠道2} {百分比}% {效果} {ROI} {渠道3} {百分比}% {效果} {ROI}
步骤 4: 制定用户激活策略
4.1 激活漏斗优化
⚡ 用户激活策略
当前激活率:{百分比}%
目标激活率:{百分比}%
激活漏斗优化点:
- {环节1}:当前转化率{百分比}%,目标{百分比}%
- 优化手段:{手段}
- 预期提升:{百分比}
- {环节2}:当前转化率{百分比}%,目标{百分比}%
- 优化手段:{手段}
- 预期提升:{百分比}
4.2 新手引导优化
🎯 新手引导优化
当前新手引导问题:
- {问题1}
- {问题2}
优化方案:
A) 简化注册流程 B) 优化首屏引导 C) 强化价值展示 D) 增加激励机制 E) 以上都做
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 643 lines · 52 tokens per session scan A fcb8f7f4d805
pm-growth is a skill published in the GitHub repository konglong87/superPM (64 stars, last pushed 5d ago), licensed MIT. It adds 52 tokens to every session and 4,267 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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